MCP Llm Inferencer

What is mcp_llm_inferencer?

mcp_llm_inferencer is an open-source library that uses Large Language Models (LLMs) like Claude and OpenAI’s GPT to convert prompt-mapped inputs into concrete components for MCP servers, such as tools, resource templates, and prompt handlers. It is designed for developers working with MCP server environments.

How to use mcp_llm_inferencer?

Clone the repository, install with pip, and set API keys as environment variables (CLAUDE_API_KEY or OPENAI_API_KEY). Initialize the MCPInferencer class with the desired API type ('claude' or 'openai') and call generate_components(prompt) to produce MCP components. Optionally enable streaming by setting stream=True when using Claude.

Key features of mcp_llm_inferencer

• LLM call engine with built-in retry and fallback logic.
• Interchangeable support for Claude and OpenAI APIs.
• Streaming support for Claude Desktop responses.
• Tool and resource response validation before deployment.
• Structured output bundling per component.

Use cases of mcp_llm_inferencer

• Automatically generate MCP tools from natural language prompts.
• Create resource templates (e.g., for an S3 bucket) via LLM prompts.
• Build prompt handlers for MCP servers without manual coding.
• Prototype MCP server components using either Claude or OpenAI.